Random Forest Models Outperform Radial Basis Networks for Dam Prediction
A study using the Karun-I dam as a case study finds that Random Forest-based machine learning methods offer superior prediction ...
Tag: Random Forest
Human Accessibility and Land Interfaces Shape Wildfire Ignition Across Spanish Parks
Ignition density was consistently lower inside Spain's Cabañeros and Monfragüe National Parks than in surrounding landscapes, with distance to wildland ...
eDNA and Machine Learning Identify Super-Connector Fish in South China Sea
Integrating environmental DNA metabarcoding with machine learning identified 23 connector fish species maintaining habitat connectivity across a tropical coastal seascape ...
Synthetic Data Boosts AI Prediction of Self-Healing Concrete
A new study demonstrates that synthetic data generation significantly improves the accuracy of machine learning models in predicting the self-healing ...
Machine Learning Validates Refined Autism Screening Checklist for Polish Toddlers
A machine learning analysis of Polish toddler data showed that refining the Quantitative Checklist for Autism in Toddlers maintained high ...
Machine Learning Reveals How Medicine Prices Predict National Life Expectancy
An explainable machine learning analysis across sixty nations reveals that pharmaceutical pricing provides crucial refinement to life expectancy predictions when ...
Machine Learning Framework Identifies High Vulnerability Along the West Bengal Coast
A new machine learning and GIS assessment reveals that over 71 percent of the West Bengal coast faces moderate to ...
Machine Learning Predicts Colorectal Cancer Outcomes in Palestine
A study published in BMC Artificial Intelligence evaluates machine learning models for predicting colorectal cancer outcomes in Palestine and globally, ...
Hybrid Framework Uncovers Decadal Air Pollution Patterns Across Bengaluru
A decade-long analysis of reconstructed air monitoring data across Bengaluru reveals distinct neighborhood pollution patterns and frequent particulate exceedances.
Machine Learning Model Predicts High-Flow Nasal Cannula Failure in COVID-19 Patients
A prospective cohort study evaluated machine learning models combining clinical and metabolomic features to predict high-flow nasal cannula failure in ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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